Download full text
(118.9Kb)
Citation Suggestion
Please use the following Persistent Identifier (PID) to cite this document:
https://nbn-resolving.org/urn:nbn:de:0168-ssoar-419927
Exports for your reference manager
Experience sampling
[working paper]
Corporate Editor
Rat für Sozial- und Wirtschaftsdaten (RatSWD)
Abstract "Experience Sampling refers to the repeated sampling of momentary experiences in the individual's natural environment. Methodological advantages include the minimization of retrospective response biases and the maximization of the validity of the assessment. Conceptual benefits include the provision... view more
"Experience Sampling refers to the repeated sampling of momentary experiences in the individual's natural environment. Methodological advantages include the minimization of retrospective response biases and the maximization of the validity of the assessment. Conceptual benefits include the provision of insights into short-term processes and into the daily-life contexts of the phenomena under study. Making use of the benefits of Experience Sampling while taking its methodological challenges into consideration allows addressing important research questions in the social and behavioral sciences with much precision and clarity. Despite this, Experience Sampling information is still rare in the data infrastructure that is publicly available to researchers. This stands in contrast to a current thriving of the methodology in research producing datasets that are not publicly available, as is the case in many psychological investigations. Following a discussion of the benefits and challenges of Experience Sampling, this report outlines its potential uses in social science and economic research and characterizes the status quo of Experience Sampling applications in currently available datasets, focusing primarily on household surveys conducted after 2001. Recommendations are given on how an intensified use of Experience Sampling in large-scale data collections can be facilitated in the future." (author's abstract)... view less
Keywords
private household; sample; data organization; data preparation; everyday life; information capture; behavioral science; methodology; data acquisition; social science; survey; analysis procedure; validity; survey research; data capture; experience
Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Document language
English
Publication Year
2009
City
Berlin
Page/Pages
12 p.
Series
RatSWD Working Paper Series, 62
Status
Published Version; reviewed
Licence
Deposit Licence - No Redistribution, No Modifications
Data providerThis metadata entry was indexed by the Special Subject Collection Social Sciences, USB Cologne